CHANNEL ESTIMATION ALGORITHM FOR MIMO OFDM SYSTEMS

DESIGN DETAILS
Orthogonal frequency division multiplexing (OFDM) is an attractive air interface for high-rate communication systems with large bandwidths. OFDM divides the frequency selective fading channel into several parallel flat fading subchannels and, thus, efficiently mitigates the multipath delay spread. The use of multiple transmits and receive antennas, i.e., multiple-input multiple-output (MIMO) channel provides the potential for tremendous capacity increase. Consequently, MIMO techniques have gained remarkable attention during the recent years. Combining MIMO processing with OFDM is the key enabling technology for several current and future broadband wireless access systems and standards. Important examples include wireless local area network (WLAN) or WiFi systems, Worldwide Interoperability for Microwave Access (WiMAX), and the Fourth-Generation cellular system Long Term Evolution (LTE).

This concept discussed below is for LTE downlink transmission scheme, from the base station to the terminal (the mobile phone), which is based on multicarrier modulation: OFDM (Orthogonal Frequency Division Multiplexing). LTE also supports the use of multiple antennas at both the base station and the terminal to improve communication performance: Multiple Input - Multiple Output (MIMO) antenna processing. The Matlab design focuses on estimating Extended Pedestrian-A between the transmitter and the receiver. The least squares (LS) channel estimation algorithm for a multiple-input multiple-output (MIMO) system with orthogonal frequency division multiplexing (OFDM) is considered. The different word lengths for the using Matlab i.e., 2 × 2 and 4 × 4 MIMO systems with quadrature phase shift keying (QPSK) modulation are shown in the simulation video demo.

REFERENCES
Reference Paper-1: Channel estimation algorithms for MIMO-OFDM systems (LTE standard)
Author’s Name: Abdelhamid laraki , Driss El Ouadghiri and, Abdellah Jamali
Source: ACM
Year: 2013

Reference Paper-2: Implementation of The Least Squares Channel Estimation Algorithm for MIMO-OFDM Systems
Author’s Name: Samuli Tiiro, Jari Ylioinas, Markus Myllyl and Markku Juntti
Source: EURASIP
Year: 2009

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